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: 200 actual Questions

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Oracle Oracle Database 10g: New

Oracle launches original HPC cases with Intel Xeon and Mellanox network controllers | killexams.com actual Questions and Pass4sure dumps

At Oracle’s annual Oracle Open World climax in San Francisco final month, the Redwood Shores business published giant enhancements to Oracle Cloud Infrastructure (OCI), its naked metallic compute carrier for corporations. Following on the heels of those announcements, it these days launched original OCI generation 2 situations it described as tailored for “efficiency-delicate” extreme performance compute (HPC) workloads comparable to machine researching and engineering simulations.

They’re powered by means of Intel’s Xeon processor lineup and Mellanox’s excessive-efficiency community interface controllers, and that they slot under Oracle’s original clustered network providing, which makes attainable to valued clientele low-latency, excessive-bandwidth RDMA networks with direct memory entry to computing device memory.

“in the past three years, Oracle has made colossal progress in developing and enhancing extreme performance bare-steel offerings in a position to providing on-premise customers with the options they should circulate their HPC workloads to the cloud,” Clay Magouyrk, senior vice chairman of Oracle Cloud Infrastructure, stated. “Our growing collaboration with industry-main businesses helps ensure that Oracle Cloud Infrastructure continues to expand and present the top of the line performance on the lowest cost for the workloads that consumers really exigency the cloud for.”

With clustered community setups, Oracle defined, valued clientele can elope workloads love DNA sequencing, car crash simulations, oil reservoir explorations, and greater in the cloud can charge-efficiently. if they’re already the usage of Oracle Database, it’s a plug-and-play affair; cloud-stored datasets feed seamlessly into clustered community storage, the dwelling they may likewise live used to train synthetic intelligence (AI) fashions running on processors, high-end graphics playing cards, or a bespoke aggregate of silicon.

“With this original offering,” Oracle wrote, “[we] now provides gigantic agencies with an entire set of solutions for any HPC workload, enabling agencies to capitalize on the benefits of concurrent cloud computing whereas having fun with performance comparable to on-premises compute clusters at a price that makes feel for their business.”

the brand new Oracle Cloud Infrastructure instances unite two others announced in October.

Early ultimate month, Oracle debuted usher for Nvidia’s HGX-2 platform, which sandwiches collectively 16 interconnected Nvidia Tesla V100 GPUs (with 0.5TB of reminiscence) for a mixed two petaflops of computing vigor. GPU-accelerated deep discovering and HTPC containers in Oracle Cloud Infrastructure are available from the Nvidia GPU Cloud container registry, which exceptionally supports Nvidia’s open source RAPIDS conclusion-to-end facts science pipeline.

greater lately, Oracle and AMD jointly unveiled the primary AMD Epyc processor-based situations on Oracle Cloud Infrastructure. Oracle claims that the Compute regular E2 platform, which is generally obtainable in naked metal and one, two, 4, and eight-core virtual desktop shapes, is the most splendid value illustration (3 cents per core hour) purchasable on any public cloud.

one after the other, the brand original circumstances leverage Oracle Cloud Infrastructure Gen 2’s highlight aspects, together with safety enhancements, an greater independent database, and original built-in experiences for Oracle Cloud market, Oracle’s on-line deliver for Oracle Cloud company apps and skilled services.

a few embrace a brand original Key administration carrier (KMS) that affords admins enhanced manage over statistics encryption, plus a Cloud entry security broker (CASB) that screens and enforces at ease configurations; allotted denial of carrier (DDoS) defensive; and an internet utility Firewall (WAF) designed to protect against assaults on the net. likewise in tow (in preview) is Oracle self sustaining Transaction Processing, an self sustaining database cloud provider that makes it practicable for teams to install and manage projects in discrete cloud-like environments on Oracle Cloud.

by way of the pause of 2019, Oracle Cloud Infrastructure will expand to information centers in Toronto, Chicago, Sao Paulo, Zurich, core East, Mumbai, Seoul, Tokyo, and Osaka, the enterprise printed at Oracle Open World, up from the four regions during which it’s purchasable at present.

In September, Oracle reported $6.sixty one billion in earnings from its cloud features and license usher section, up 3.2 percent from the prior year. The enterprise, citing analysis from Deloitte, expects consumers to spend more than $fifty seven.6 billion on computer discovering by using 2021, up from $12 billion in 2017.


Oracle Cloud Unveils original HPC offerings to assist Mission crucial Workloads | killexams.com actual Questions and Pass4sure dumps

Oracle now gives a complete set of solutions for any lofty efficiency computing workload, constructed to tender the most desirable efficiency on the lowest cost within the cloud

REDWOOD SHORES, Calif., Nov. 12, 2018 /PRNewswire/ -- Oracle these days introduced availability of latest bare metallic Oracle Cloud Infrastructure compute situations to assist organisations elope a lot of performance choice workloads, equivalent to synthetic intelligence (AI) or engineering simulations, in the cloud. These original instances are share of Oracle's original "Clustered network," which offers valued clientele entry to a low latency and extreme bandwidth RDMA community. Oracle now gives huge corporations with an entire set of solutions for any extreme performance computing (HPC) workload, enabling groups to capitalize on the benefits of concurrent cloud computing while enjoying performance comparable to on-premises compute clusters at a value that makes sense for his or her agencies. 

Oracle logo (PRNewsfoto/Oracle)

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numerous companies believe considered a transition to the cloud for years for his or her legacy HPC workloads, however were unable to finish so as a result of the shortcoming of lofty performant cloud choices or economics that would do it too lofty priced to elope within the cloud. companies believe struggled to find a cloud that may support original workload necessities whereas realizing pervade efficiencies and suppleness that meet business desires and usual know-how imaginative and prescient. With present day information, agencies ultimately believe a comparatively cheap route to prolong their on-premises HPC workloads to the cloud without sacrificing efficiency.

"HPC has been underserved in the cloud due to want of lofty efficiency networking (RDMA) and unappealing rate/efficiency. they believe now listened to their consumers and over the remaining few years Oracle has concentrated on improving extreme efficiency bare-metallic choices, corresponding to Clustered Networking, to supply on-premise consumers with the options they exigency to lengthen their HPC workloads to the cloud," mentioned Vinay Kumar, vice president, Product management & strategy, Oracle Cloud Infrastructure. "Our transforming into collaboration with trusted companies helps Oracle Cloud Infrastructure continue to extend and present the most desirable efficiency on the lowest pervade for the workloads that valued clientele actually exigency to lengthen into the cloud."

With Oracle's Clustered network offering on the statistics hub stage, Oracle has opened up a wholly original set of use-cases and workloads that enterprises can harness the energy of cloud computing for, ranging from motor vehicle crash simulations in automobile and DNA sequencing in healthcare to reservoir simulation for oil exploration. groups can now deploy further use-situations up to now out of their reach, corresponding to the usage of records from their Oracle Database and reducing-area NVIDIA(R) Tesla(R) GPUs to elope Neural network AI practising and directly including cost to their data.

the brand original offering is powered by excessive-frequency Intel® Xeon® Scalable processors and Mellanox's lofty performance network interface controllers. For greater than 25 years, Oracle and Intel believe worked carefully to convey innovative, scalable, and cozy business-category solutions to its clients. This original addition completes Oracle's finished set of infrastructure solutions for the complete latitude of each CPU- and NVIDIA GPU-based HPC workloads, offering shoppers with streamlined and decrease can pervade access to really splendid choices in the cloud. Oracle Cloud Infrastructure now gives a complete latitude of HPC workloads, together with the simplest bare steel Infrastructure-as-a-carrier (IaaS) providing in the marketplace with RDMA.

Story Continues

These original HPC situations with Clustered Networking are offered across Oracle areas within the US and ecu at $0.075 per core hour, a forty nine % pay-as-you-go discount rates in comparison to other cloud providers in the marketplace.

moreover, these capabilities will even live accelerated for Oracle's currently announced aid for NVIDIA HGX-2 platform on Oracle Cloud Infrastructure. customers will live capable of engage talents of clustered networking as a share of the subsequent era of NVIDIA Tensor Core GPUs, opening up huge scale GPU workloads akin to AI and deep getting to know.

business quotes

"HPC is essential for greater spend cases, complex workloads, and information-intensive computing than ever before. entry to HPC capabilities in the cloud allows for clients to finish greater through extending into the public cloud while providing original HPC and AI users a platform to forward and test original classes of HPC and AI algorithms," talked about Lisa Davis, vp of Intel's information middle group and general supervisor of Digital Transformation and Scale solutions. "we are working with Oracle to permit leading HPC choices that engage handicap of the superior efficiency, effectivity and scale delivered by Intel® Xeon® Scalable processors across HPC and AI workloads, vulgar while profiting from the agility and adaptability of Oracle's subsequent technology, enterprise-grade cloud offering."

"As groups loom to do sure they reside ahead of the competition, they are seeking for extra productive capabilities to permit larger performing workloads. This requires quick records communique between CPUs, GPUs and storage, within the cloud," observed Michael Kagan, CTO, Mellanox technologies. "during the final 10 years we've supplied advanced RDMA enabled networking options to Oracle for lots of its products and are lighthearted to prolong this to Oracle Cloud Infrastructure to support maximize performance and effectivity within the cloud."

"With the huge explosion of data, you want better clusters of GPUs to procedure and train the records being produced. HGX-2 on Oracle is the ultimate apt for this difficulty," said Ian Buck, vice president of Accelerated Computing, NVIDIA. "HGX-2 on Oracle combines cutting-facet V100 Tensor Core GPUs and NVSwitch together with capability to scale throughout varied HGX-2s the usage of Clustered Networking to resolve the biggest computing challenges."

helping resources

About Oracle Cloud Infrastructure Oracle Cloud Infrastructure is an enterprise Infrastructure as a carrier (IaaS) platform. corporations of vulgar sizes depend on Oracle Cloud to elope enterprise and cloud endemic purposes with mission-critical efficiency and core-to-facet safety. by means of running each uninterested and original workloads on a finished cloud that comprises compute, storage, networking, database, and containers, Oracle Cloud Infrastructure can dramatically boost operational efficiency and lessen total can pervade of ownership. For greater counsel, visit https://cloud.oracle.com/iaas. 

About OracleThe Oracle Cloud offers comprehensive SaaS application suites for ERP, HCM and CX, plus top of the line-in-class database Platform as a service (PaaS) and Infrastructure as a service (IaaS) from data centers during the Americas, Europe and Asia. For more counsel about Oracle (ORCL), delight talk over with us at www.oracle.com.

TrademarksOracle and Java are registered logos of Oracle and/or its affiliates. different names can live logos of their respective homeowners.

Future Product DisclaimerThe previous is intended to profile their chummy product path. it's intended for suggestions functions simplest, and may no longer live incorporated into any contract. It is not a dedication to convey any fabric, code, or functionality, and may no longer live relied upon in making purchasing selections. The construction, release, timing, and pricing of any facets or performance described for Oracle's products may additionally alternate and continues to live at the sole discretion of Oracle organisation.

 

View original content material to down load multimedia:http://www.prnewswire.com/news-releases/oracle-cloud-unveils-new-hpc-offerings-to-guide-mission-essential-workloads-300747806.html


Oracle Database 10g original features (Chapter 1) | killexams.com actual Questions and Pass4sure dumps

part of the Osborne Oracle Press series, "Oracle Database 10g original features," written by way of Robert Freeman, presents a useful overview of vulgar of the slicing-edge facets of Oracle's latest database unencumber, Oracle Database 10g. contains knowledgeable commentary during from world-in claim Oracle guru Jonathan Lewis. here is a grotesque resource for decision-makers and IT group of workers preparing for improvements or migration.

Chapter 1, "Getting begun," is the vicinity to start for your distress to gain erudition of vulgar about Oracle Database 10g. This chapter will first seem to live at the "grid" and clarify what it's vulgar about. Then it strikes on to clarify how to ameliorate to Oracle Database 10g. specific topics coated consist of the "grid," upgrading to 10g, the SYSAUX tablespace and computerized Storage administration (ASM).

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1Z0-045 exam Dumps Source : Oracle Database 10g: original Features for Oracle8i OCPs

Test Code : 1Z0-045
Test cognomen : Oracle Database 10g: original Features for Oracle8i OCPs
Vendor cognomen : Oracle
: 200 actual Questions

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Yes, the question bank is very profitable and I imply it to every body who wishes to engage these tests. Congrats on a job nicely understanding out and executed. I cleared my 1Z0-045 exams.


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I feel very confident via getting prepared 1Z0-045 actual exam questions.
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Oracle Database 10g: original Features for Oracle8i OCPs

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Top 10 original data warehousing features in Oracle Database 10g | killexams.com actual questions and Pass4sure dumps

Mark Rittman

Mark Rittman is a SearchOracle.com guest contributor. He is an OCP DBA and works as a consulting manager at Plus Consultancy in England, where he specializes in developing business intelligence and data warehousing applications using the Oracle Database, Application Server, Discoverer, Warehouse Builder and Oracle OLAP.

You can find more of Mark's labor at www.rittman.net/.

Plus Consultancy's ticket Rittman shares what he believes are the top 10 original data warehousing features in Oracle Database 10g. spend the following list to navigate to each feature.

  TABLE OF CONTENTS  1. The SQL Model Clause  2. The SQLAccess Adviser  3. Improvements to the Multidimensional OLAP Engine  4. The Tune MView Advisor and improvements to Query Rewrite  5. Data Pump, The replacement for import and export  6. Improvements to storage management  7. Faster full table scans  8. Automatic tuning and maintenance  9. Asynchronous Change Data Capture  10. Improvements to Oracle data mining

  1. The SQL Model clause[ return to Table of Contents ]

The original data warehousing feature in Oracle Database 10g that has probably received the most attention is the SQL Model clause. The SQL Model clause allows users to embed spreadsheet-like models in a SELECT statement, in a way that was previously the domain of dedicated multidimensional OLAP servers such as Oracle Express and Oracle9i OLAP. The SQL Model clause brings an entirely original dimension to Oracle analytical queries and addresses a number of traditional shortcomings with the way SQL normally works.

The SQL Model clause has been designed to address the sort of situation where, in the past, clients believe taken data out of relational databases and imported it into a model held in a spreadsheet such as Microsoft Excel. Often, these models involve a succession of macros that aggregate data over a number of business dimensions, over varying time periods, and following a set of complex business rules that would live difficult to express as bona fide SQL. I've worked on many a client assignation where the limitations of SQL meant that a number of standalone transcend spreadsheets had to live used, and while these gave the client the analytical capabilities they required, the usual issues of scalability and reliability of replicated data, and want of overall control often became distinct after a while.

The train of the SQL Model clause is to give bona fide SQL statements the skill to create a multidimensional array from the results of a bona fide SELECT statement, carry out any number of interdependent inter-row and inter-array calculations on this array, and then update the foundation tables with the results of the model. An instance SQL statement using the MODEL clause would celebrate like;

SELECT SUBSTR(country,1,20) country, SUBSTR(prod,1,15) prod, year, sales FROM sales_view WHERE country IN ('Italy','Japan') MODEL return UPDATED ROWS PARTITION BY (country) DIMENSION BY (prod, year) MEASURES (sale sales) RULES ( sales['Bounce', 2002] = sales['Bounce', 2001] + sales['Bounce', 2000], sales['Y Box', 2002] = sales['Y Box', 2001], sales['2_Products', 2002] = sales['Bounce', 2002] + sales['Y Box', 2002]) ORDER BY country, prod, year;

More details on the SQL Model clause can live create in "The original Oracle10g SQL Model Clause", the OracleWorld white paper "SQL Model clause of Oracle Database 10g", the OTN article "Announcing the original Model" by Jonathan Gennick and OTN's documentation.

  2. The SQLAccess Adviser[ return to Table of Contents ]

Part of the Oracle Database 10g Server Manageability feature, the SQLAccess Adviser recommends the best combination of indexes and materialized views for a given database workload. Available either at the command line (via the DBMS_ADVISOR package) or through the Advisor Central element of the original Web-based Oracle Enterprise Manager, the SQLAccess Adviser is based on the index and summary advisors previously bundled with Oracle9i and provides a one-stop-shop for tuning and summarizing your warehouse data.

More details on the SQLAccess Adviser can live create in this OracleWorld white paper, ""Turbocharge your database: spend the Oracle Database 10g SQLAccess Advisor" by Lillian Hobbs, the OTN documentation and this Oracle-by-example tutorial.

  3. Improvements to the multidimensional OLAP engine[ return to Table of Contents ]

With Oracle9i, the previously standalone Express multidimensional engine is now incorporated into the Oracle database, and with Oracle Database 10g, benefits of integration with the traditional relational Oracle engine are starting to become apparent.

First up is improvements to the way great analytic workspaces can live partitioned, introducing into the Oracle OLAP world some of the advanced partitioning options currently enjoyed by Oracle database users. Currently, analytic workspaces, stored as AW$ tables within an Oracle schema, can live partitioned across multiple rows in the AW$ table by specifying a maximum segment size, allowing you to split an individual analytic workspace into (say) 10 GB segments, one in each table row. This table could then live partitioned just love any other Oracle table, allowing you to do one row in one tablespace, another in another, and each of these tablespaces could of course live stored in datafiles on different physical disk units. Although this was of some benefit, splitting by segment size was the only way of partitioning the data, and you couldn't specify what objects within the analytic workspace went in to each partition. Oracle10g OLAP will now embrace an enhancement where you can specify exactly which objects within the analytic workspace proceed in to each partition, and you can further subdivide this by segment size if objects are particularly large.

In a similar fashion, variables within the analytic workspace can now live partitioned, either by range of dimension members, a list of dimension members, or by reference to a CONCAT dimension. The 10g multidimensional engine then stores each variable partition as a sever physical object, which can live directed to sever rows in the AW$ table (allowing you to partition these across different tablespaces and physical disk drives); the variable, however, appears as just one protest to the application, simplifying the data model and allowing Oracle to finish vulgar the hard labor in the background.

Another excellent original feature, and a actual improvement over what was available with Express, is support for multi-user read-write access to individual analytic workspaces. In the past, one drawback with Express was that only one user could attach to an Express database in read-write mode, leading Express developers to develop a total range of alternative solutions to allow ad-hoc write access to Express databases. In Oracle 10g OLAP, analytic workspaces can live attached in MULTI mode, whereafter applications then ACQUIRE individual variables in the analytic workspace for read-write access. Once an protest has been acquired (and locked by the Oracle multidimensional engine), updates can then engage dwelling and the application can do whatever modifications are necessary. After vulgar changes believe been made, the UPDATE command is issued against the variable, followed by a COMMIT, and then a RELEASE command is issued against the variable to do it available for other applications to write to. It'll live keen to espy how the multidimensional engine handles multi-write access; in the past with Express databases could balloon in size when one user had read-write access to a database, and others were accessing it in read mode, as Express had to clone the database for each user to ensure that they had a consistent view of the data. I wouldn't live surprised if individual variables were copied out of a 10g analytic workspace into a temporary workspace while updates happened, with updates being propagated back (as with the old-fashioned Express transcend Add-In) when the changes are finally COMMITted -- the key thing here is how database size is dealt with as the old-fashioned Express way of doing it was less than optimal.

Aggregation has been improved with Oracle10g OLAP, with formulas now allowed as sources of data for the AGGREGATE command, eliminating the exigency to calculate and store data at the detail level. Aggregation, particularly dynamic aggregation, is another belt where Oracle9i and now 10g OLAP are a distinct improvement over Express and it's well worth looking at this belt in more detail if this is an issue with an existing Express system.

More details on Oracle10g OLAP's original features can live create in the OLAP Application Developer's Guide, the OLAP DML Reference and a white paper by Bud Endress, "OLAP Option to the Oracle10g Database."

  4. The Tune MView Advisor and improvements to Query Rewrite[ return to Table of Contents ]

Query Rewrite (the skill for Oracle to transparently redirect queries from detail plane to summary tables) is one of the best data warehousing features in Oracle8i and 9i, but it's sometimes a bit temperamental and you can often find that queries don't actually enmesh rewritten. Sometimes this is because you've broken one of the Query Rewrite restrictions, sometimes it's because your materialized view doesn't contain the revise columns and aggregates. Oracle 10g has a number of improvements to Query Rewrite and the materialized view tuning process that should do this process a bit more productive. With Oracle Database 10g, query rewrite is now practicable when your SELECT statement contains analytic functions, full outer joins and set operations such as UNION, MINUS and INTERSECT. In addition, you can now spend a hint, /*+ REWRITE_OR_ERROR */, which will desist the execution of a SQL statement if query rewrite cannot occur.

SQL> SELECT /*+ REWRITE_OR_ERROR */ 2 s.prod_id, 3 sum(s.quantity_sold) 4 FROM sales s 5 GROUP BY s.prod_id; FROM sales s * error at line 4: ORA-30393: a query shroud in the statement did not rewrite

Oracle9i came with two packages, DBMS_MVIEW.EXPLAIN_MVIEW and DBMS_MVIEW.EXPLAIN_REWRITE that could live used to diagnose why a materialized view wasn't being used for query rewrite. However, although these packages told you why rewrite hadn't happened, they left it down to you to labor out how to alter your CREATE MATERIALIZED VIEW statement to ensure that rewrite happened correctly. Oracle Database 10g comes with a original advisor package, DBMS_ADVISOR.TUNE_MVIEW, that takes as its input a CREATE MATERIALIZED VIEW DML statement, and outputs a corrected version that supports query rewrite and features such as hasty refresh.

More details on Query Rewrite improvements and the Tune MView Adviser can live create in the TUNE_MVIEW online documentation, the Query Rewrite online documents and this Oracle Database 10g Oracle-by-Example tutorial.

  5. Data Pump: The replacement for import and export[ return to Table of Contents ]

Data Pump is a replacement for the venerable IMP and EXP applications used for creating analytic backups of Oracle tables, schemas or databases. Data Pump is a server application (as opposed to IMP and EXP, which were client applications), which in beta testing was twice as hasty as the old-fashioned EXP for exporting data, and 10 times as hasty as the old-fashioned IMP for importing data. Data Pump is callable either through the DBMS_DATAPUMP package, through the replacements for IMP and EXP, known as IMPDB and EXPDB, or through a wizard delivered as share of Oracle Enterprise Manager 10g.

Data Pump (and the original IMPDB and EXPDB applications) offers a number of improvements over the old-fashioned IMPORT and EXPORT, including resumable/restartable jobs, automatic two-level parallelism, a network mode that uses DBLINKs/listener service names instead of pipes, fine-grained protest selection (so you can select individual tables, view, packages, indexes and so on for import or export, not just tables or schemas as with IMPORT and EXPORT), and a fully callable API that allows Data Pump functionality to live embedded in third-party ETL packages.

More details on Data Pump can live create in this OracleWorld white paper by George Claborn, "Data Pump in Oracle Database 10g: Foundation for ultra-high-speed data movement utilities,", OTN's online documentation and this Oracle-by-example tutorial.

  6. Improvements to storage management[ return to Table of Contents ]

Automatic Storage Management (ASM) is one of the 'cool original features' in Oracle10g that is meant to reduce the workload for Oracle DBAs. ASM completely automates the process of creating analytic volumes, file systems and filenames, with the DBA only specifying the location of raw disks and ASM doing the rest. Disk I/O is managed by evenly distributing the data across blocks within a disk group, with ASM in addition handling disk mirroring and the creation of mirror groups and failure groups.

ASM deals with the problems caused by rapidly expanding data warehouses, where administators can no longer deal with the sheer number of disk units, nodes and analytic groupings, and is a key feature of the Oracle 10g Grid Architecture, which aims to 'virtualize' computing power and present database features love processing and storage as utilities that effectively manage themselves.

More details on Automatic Storage Management can live create in this OTN article by Lannes Morris-Murphy, this Oracle-by-example tutorial (which comes with a number of demonstration viewlets) and OTN's online documentation.

  7. Faster full table scans[ return to Table of Contents ]

Full table scans are common in data warehousing environments, and with this in mind, table scan performance has been improved in Oracle10g. Code optimization in Oracle Database 10g has decreased CPU consumption and this leads to faster table scan execution (when queries are CPU bound, rather than I/O bound), and gives the potential for greater query concurrency, offering up to 30-40% accelerate improvements when comparing CPU-bound queries.

  8. Automatic tuning and maintenance[ return to Table of Contents ]

Automatic maintenance and tuning has always been one of the key product differentiators for Microsoft SQL Server and with Oracle10g, features that meet and match those create in competitor products are being introduced to the server technology stack.

Surveys point to that over 50% of a DBAs time is spend tuning and monitoring the database server, a chore that while notable is often complex and difficult to enmesh exactly right. With Oracle Database 10g, Oracle has introduced a number of components that together do it practicable for the database server to monitor itself, do quick-witted changes to configuration, and alert DBAs when situations arise that exigency manual intervention.

The first component in this framework is the Automatic Workload Repository, which uses an enhanced version of Statspack to collect instance statistics every 30 minutes and stores these for a rolling seven day period. This enhanced version of Statspack now collects a broader range of statistics and has a number of optimizations to streamline the way high-cost SQL statements are captured, ensuring that only SQL activity that has significantly affected performance since the final snapshot are collected. The usage information stored in the Automatic Workload Repository is then used as the basis for vulgar the self-management functionality in Oracle Database 10g.

Next up is the Automatic Maintenance Tasks feature, which acts on the statistics gathered by the Automatic Workload Repository, and carries out tasks such as index rebuilding, refreshing statistics and so on, where such tasks don't require any manual intervention by the DBA. A original scheduling feature known as Unified Scheduler runs these tasks during a predefined maintenance window, set by default to live between 10:00 pm and 6:00 am the next day, although these times can live customized to reduce impact on other tasks (such as batch loads) that might live taking place.

The third component of the self-managing framework is Server Generated Alerts, a method where the database server sends notifications via e-mail to the DBA -- including a recommendation as to how best to deal with the situation. Alerts will normally live raised where the database itself cannot deal with the situation that has arisen, such as when there is insufficient space on a disk unit to extend a datafile.

Lastly, and perhaps the most exiting of vulgar the self-managing component frameworks, is the Automatic Database Diagnostic Monitor. This component analyzes the data captured in the Automatic Workload Repository and uses an artificial intelligence algorithm, similar to that create in Oracle Expert, to analyze areas such as lock contention, CPU bottlenecks, I/O usage and contention, issues with checkpointing and so on, in much the selfsame way that a DBA would currently finish by analyzing statspack reports.

More details on the self-tuning and maintenance features in Oracle 10g can live create in this OracleWorld white paper, "Oracle Database 10g: The self-managing database," by Sushil Kumar.

  9. Asynchronous Change Data Capture[ return to Table of Contents ]

Oracle Change Data Capture was introduced with Oracle9i, and provided the skill to track changes to tables and store them in a change table, for further consumption by an ETL process. Oracle9i Change Data Capture worked by creating triggers on the source tables, transferring data synchronously but creating a processing overhead and requiring access to the structure of the source tables. Because of the consequence that the triggers had on the underlying tables, many warehouse projects did without change data capture and used other methods to capture changes.

Oracle10g introduces Asynchronous Change Data Capture, which instead of using triggers uses the database log files to capture changes and apply them to collection tables. Asynchronous Change Data Capture therefore doesn't require changes to the table structure and doesn't impact on database performance.

More details on Asynchronous Change Data Capture can live create in this OTN white paper, "On-time data warehousing with Oracle 10g -- Information at the accelerate of your business," which likewise details improvements to the transportable tablespaces feature in Oracle Database 10g (tablespaces no longer exigency to live sourced from the selfsame O/S platform).

  10. Improvements to Oracle data mining[ return to Table of Contents ]

Alongside the inclusion of the Oracle Express multidimensional OLAP engine, Oracle9i likewise embedded data mining functionality in the database together, and this data mining functionality has been enhanced with Oracle Database 10g. Oracle Database 10g adds support for two original classification routines, support Vector Machine (used for top-down rather than a bottom-up calculations, assuming the best practicable apt and then working backwards to what can live achieved) and Non-Negative Matrix Factorisation, together with support for Frequent Itemsets, used for such functions as market basket analysis and propensity analysis.

More details on what's original with Oracle10g Data Mining can live create in the OTN online documentation.

About the author:Mark Rittman works for Plus Consultancy, an Oracle ally specializing in business intelligence and data warehousing solutions, based in Brighton, England. He manages their data warehousing exercise and spends most time designing and structure BI&W systems based on the Oracle9i platform. Away from Plus, he's likewise the chair of the UKOUG business Intelligence & Reporting Tools SIG, working as a liason between the Oracle BI tools community and Oracle. Check out Mark's Web site at www.rittman.net.


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Upgrading DBMS Versions and Releases | killexams.com actual questions and Pass4sure dumps

This chapter is from the book 

Change is a fact of life, and each of the major DBMS products changes quite rapidly. A typical release cycle for DBMS software is 18 to 24 months for major releases, with constant bug fixes and maintenance updates delivered between major releases. Indeed, keeping DBMS software up-to-date can live a full-time job.

The DBA must develop an approach to upgrading DBMS software that conforms to the organization’s needs and minimizes business disruptions due to outages and database unavailability.

You may believe noticed that I spend the terms version and release to some extent interchangeably. That is fine for a broad discussion of DBMS upgrades, but a more precise definition is warranted. For a better discussion of the differences between a version and a release, delight advert to the sidebar.

A DBMS version upgrade can live thought of as a special case of a original installation. vulgar the procedures required of a original installation apply to an upgrade: You must procedure for confiscate resources, reconsider vulgar system parameters, and ensure that vulgar supporting software is appropriately connected. However, another staid issue must live planned for: existing users and applications. An upgrade needs to live planned to cause as petite disruption to the existing users as possible. Furthermore, any additional software that works with the DBMS (such as purchased applications, DBA tools, utilities, and so on) must live verified to live compatible with the original DBMS version. Therefore, upgrading can live a tricky and difficult task.

In a complex, heterogeneous, distributed database environment, a coherent upgrade strategy is essential. Truthfully, even organizations with only a solitary DBMS should approach DBMS upgrades cautiously and procedure accordingly. Failure to procedure a DBMS upgrade can result in indecorous and inefficient adoption of original features, performance degradation of original and existing applications, and downtime.

Upgrading to a original DBMS release offers both rewards and risks. The following are some of the benefits of poignant to a original release:

  • Developers can avail themselves of original features and functionality delivered only in the original release. If evolution requires a original feature, or can simply benefit from a original feature, program evolution time can live reduced or made more cost-effective.
  • For purchased applications, the application vendor may require a specific DBMS version or release for specific versions of its application to enable specific functionality within the application.
  • New DBMS releases usually deliver enhanced performance and availability features that can optimize existing applications. Sometimes a original DBMS release is required to scale applications to support additional users or larger amounts of data.
  • DBMS vendors often provide better support and respond to problems faster for a original release of their software. DBMS vendors are loath to allow noxious publicity about bugs in a original and heavily promoted version of their products.
  • Cost savings may accrue by upgrading to a original DBMS release. Some vendors pervade additionally when a company uses multiple versions of a DBMS, such as the original version in a test environment and the old-fashioned in production. When both are migrated to the selfsame version, the price tag for the DBMS sometimes can live reduced.
  • Production migration to a original DBMS release will align the test and production database environments, thereby providing a consistent environment for evolution and implementation. If a original release is running in the test environment for too long, database administration and application evolution tasks become more difficult because the test databases will operate differently from the production databases.
  • However, an effective DBMS upgrade strategy must equipoise the benefits against the risks of upgrading to arrive at the best timeline for migrating to a original DBMS version or release. The risks of upgrading to a original DBMS release embrace the following:

  • An upgrade to the DBMS usually involves some plane of disruption to business operations. At a minimum, databases will not live available while the DBMS is being upgraded. This can result in downtime and lost business opportunities if the DBMS upgrade occurs during bona fide business hours (or if there is no planned downtime). Clustered database implementations may permit some database availability while individual database clusters are migrated to the original DBMS version.
  • Other disruptions can occur, such as having to convert database structures or discovering that previously supported features were removed from the original release (thereby causing application errors). Delays to application implementation timelines are another possibility.
  • The cost of an upgrade can live a significant barrier to DBMS release migration. First, the cost of the original version or release must live budgeted for (price increases for a original DBMS version can amount to as much as 10 to 25 percent). The upgrade cost must likewise factor in the costs of planning, installing, testing, and deploying not just the DBMS but likewise any applications that spend databases. Finally, live sure to embrace the cost of any original resources (such as memory, storage, additional CPUs) required to spend the original features delivered by the original DBMS version.6
  • DBMS vendors usually tout the performance gains that can live achieved with a original release. However, when SQL optimization techniques change, it is practicable that a original DBMS release will generate SQL access paths that accomplish worse than before. DBAs must implement a rigorous testing process to ensure that original access paths are helping, not harming, application performance. When performance suffers, application code may exigency to live changed—a very costly and time-consuming endeavor. A rigorous test process should live able to enmesh most of the access path changes in the test environment.
  • New DBMS releases may cause features and syntax that are being used in existing applications to live deprecated.7 When this occurs, the applications must live modified before migration to the original release can proceed.
  • To engage handicap of improvements implemented in a original DBMS release, the DBA may believe to apply some invasive changes. For example, if the original version increases the maximum size for a database object, the DBA may believe to drop and recreate that protest to engage handicap of the original maximum. This will live the case when the DBMS adds internal control structures to facilitate such changes.
  • Supporting software products may want immediate support for a original DBMS release. Supporting software includes the operating system, transaction processors, message queues, purchased applications, DBA tools, evolution tools, and query and reporting software.
  • After weighing the benefits of upgrading against the risks of a original DBMS release, the DBA group must create an upgrade procedure that works for the organization. Sometimes the conclusion will live to upgrade immediately upon availability, but often there is a lag between the common availability of a original release and its widespread adoption.

    When the risks of a original release outweigh the benefits, some organizations may determine to skip an interim release if doing so does not impact a future upgrade. For example, a splendid number of Oracle customers migrated directly from Oracle7 to Oracle8i, skipping Oracle8. If the DBMS vendor does not allow users to bypass a version or release, it is silent practicable to “skip” a release by waiting to implement that release until the next release is available. For example, admiration the following scenario:

  • ABC Corporation is using DB Version 8 from DBCorp.
  • DBCorp announces Version 9 of DB.
  • ABC Corporation analyzes the features and risks and determines not to upgrade immediately.
  • DBCorp later announces DB Version 10 and that no direct migration path will live provided from Version 8 to Version 10.
  • ABC Corporation decides that DB Version 10 provides many useful features and wants to upgrade its current Version 8 implementation of DB. However, it has no compelling judgement to first implement and spend Version 9.
  • To fulfill its requirements, ABC Corporation first upgrades Version 8 to Version 9 and then immediately upgrades Version 9 to Version 10.
  • Although a multiple-release upgrade takes more time, it allows customers to effectively control when and how they will migrate to original releases of a DBMS instead of being held hostage by the DBMS vendor. When attempting a multiple-release upgrade of this type, live sure to fully understand the features and functionality added by the DBMS vendor for each interim release. In the case of the hypothetical ABC Corporation, the DBAs would exigency to research and prepare for the original features of not just Version 10 but likewise Version 9.

    An confiscate DBMS upgrade strategy depends on many things. The following sections profile the issues that must live factored into an effective DBMS release upgrade strategy.

    Features and Complexity

    Perhaps the biggest factor in determining when and how to upgrade to a original DBMS release is the functionality supported by the original release. Tightly coupled to functionality is the inherent complexity involved in supporting and administering original features.

    It is more difficult to retard an upgrade if application developers are clamoring for original DBMS features. If DBMS functionality can minimize the cost and distress of application development, the DBA group will feel pressure to migrate swiftly to the original release. An additional factor that will coerce rapid adoption of a original release is when DBMS problems are fixed in the original release (instead of through regular maintenance fixes).

    Regardless of a original release’s “bells and whistles,” sure administration and implementation details must live addressed before upgrading. The DBA group must ensure that standards are modified to embrace the original features, educate developers and users as to how original features labor and should live used, and prepare the infrastructure to support the original DBMS functionality.

    The types of changes required to support the original functionality must live factored into the upgrade strategy. When the DBMS vendor makes changes to internal structures, data page layouts, or address spaces, the risks of upgrading are greater. Additional testing is warranted in these situations to ensure that database utilities, DBA tools, and data extraction and movement tools silent labor with the revised internal structures.

    Complexity of the DBMS Environment

    The more complex your database environment is, the more difficult it will live to upgrade to a original DBMS release. The first complexity issue is the size of the environment. The greater the number of database servers, instances, applications, and users, the greater the complexity. Additional concerns embrace the types of applications being supported. A DBMS upgrade is easier to implement if only simple, batch-oriented applications are involved. As the complexity and availability requirements of the applications increase, the rigor of upgrading likewise increases.

    Location of the database servers likewise affects the release upgrade strategy. Effectively planning and deploying a DBMS upgrade across multiple database servers at various locations supporting different lines of business is difficult. It is likely that an upgrade strategy will involve periods of supporting multiple versions of the DBMS at different locations and for different applications. Supporting different versions in production should live avoided, but that is not always possible.

    Finally, the complexity of the applications that access your databases must live considered. The more complex your applications are, the more difficult it will live to ensure their continuing uninterrupted functionality when the DBMS is modified. Complexity issues embrace the following:

  • Usage of stored procedures and user-defined functions.
  • Complexity of the SQL—the more tables involved in the SQL and the more complex the SQL features, the more difficult it becomes to ensure that access path changes finish not impact performance.
  • Client/server processing—network usage and usage of multiple tiers complicates testing the original DBMS release.
  • Applications that are designed, coded, and generated by a framework or an IDE (for example, Hibernate) may believe additional components that exigency to live tested with a original DBMS release.
  • Integration with other infrastructure software such as message queues and transaction processors can complicate migration because original versions of these products may live required to support the original DBMS release.
  • The language used by the programs might likewise impact DBMS release migration due to different support for compiler versions, changes to APIs (application programming interfaces), or original ways of embedding SQL into application programs.
  • Reputation of the DBMS Vendor

    DBMS vendors believe different reputations for technical support, fixing bugs, and responding to problems, which is why customer references are so notable when choosing a database.

    The better the reputation of the vendor, the greater the likelihood of organizations rapidly adopting a original release. If the DBMS vendor is splendid at responding to problems and supporting its customers as they migrate to original releases, those customers will more actively engage in migration activities.

    Support Policies of the DBMS

    As original releases are introduced, DBMS vendors will retire older releases and no longer support them. The length of time that the DBMS vendor will support an old-fashioned release must live factored into the DBMS release migration strategy. You should never elope a DBMS release in production that is no longer supported by the vendor. If problems occur, the DBMS vendor will not live able to resolve them for you.

    Sometimes a DBMS vendor will provide support for a retired release on a special basis and at an increased maintenance charge. If you absolutely must continue using a retired DBMS release (for business or application issues), live sure to investigate the DBMS vendor’s policies regarding support for retired releases of its software.

    Organization Style

    Every organization displays characteristics that expose its style when it comes to adopting original products and technologies. Industry analysts at Gartner, Inc., believe ranked organizations into three distinct groups labeled types A, B, and C. A type-A enterprise is technology driven and, as such, is more likely to risk using original and unproven technologies to try to gain a competitive advantage. A type-B organization is less willing to engage risks but will adopt original technologies once others believe shaken out the bugs. Finally, a type-C enterprise, very conscious of cost and averse to risk, will lag behind the majority when it comes to migrating to original technology.

    Only type-A organizations should procedure on poignant aggressively to original DBMS releases immediately upon availability and only if the original features of the release will deliver advantages to the company. Type-C enterprises should adopt a very conservative strategy to ensure that the DBMS release is stable and well tested by type-A and type-B companies first. Type-B organizations will drop somewhere between types A and C: Almost never upgrading immediately, the type-B company will adopt the original release after the earliest users believe shaken out the biggest problems, but well before type-C enterprises.

    DBA Staff Skill Set

    Upgrading the DBMS is easier if your DBA staff is highly skilled and/or experienced. The risk of an upgrade increases as the skills of the DBA staff decrease. If your DBAs are not highly skilled, or believe never migrated a DBMS to a original release, admiration augmenting your DBA staff with consultants for the upgrade. Deploying an integrated team of internal DBAs and consultants will ensure that your upgrade goes as smoothly as possible. Furthermore, the DBA staff will live better prepared to exploit the future upgrades alone.

    If consultants will live required, live sure to embrace their contracting cost in the DBMS release upgrade budget. The budget should allow you to retain the consultants until vulgar production database environments are stable.

    Platform Support

    When a DBMS vendor unleashes a original release of its product, not vulgar platforms and operating systems are immediately supported. The DBMS vendor usually first supports the platforms and operating systems for which it has the most licensed customers. The order in which platforms are supported for a original release is likely to disagree for each DBMS vendor. For example, Linux for System z is more strategic to IBM than to Oracle, so a original DB2 release will most likely support Linux for System z very quickly, whereas this may not live exact of Oracle. The issue is even thornier for UNIX platforms because of the sheer number of UNIX variants in the marketplace. The most well-liked variants are Oracle’s Solaris, IBM’s AIX, Hewlett-Packard’s HP-UX, and Linux, the open-source version of UNIX (the Red Hat and Suse distributions are supported more frequently and rapidly than others). Most DBMS vendors will support these UNIX platforms quickly upon common availability. Other less well-liked varieties of UNIX will engage longer for the DBMS vendors to support.

    When planning your DBMS upgrade, live sure to admiration the DBMS platforms you spend and try to gauge the priority of your platform to your vendor. live sure to build some lag time into your release migration strategy to accommodate the vendor’s delivery schedule for your specific platforms.

    Supporting Software

    Carefully admiration the impact of a DBMS upgrade on any supporting software. Supporting software includes purchased applications, DBA tools, reporting and analysis tools, and query tools. Each software vendor will believe a different time frame for supporting and exploiting a original DBMS release. Review the sidebar to understand the dissimilarity between support and exploitation of a original DBMS release.

    Some third-party instrument vendors supervene guidelines for supporting and exploiting original DBMS releases. Whenever possible, request your vendors to state their policies for DBMS upgrade support. Your vendors will probably not consign to any hard date or date range to support original versions and releases—some DBMS versions are larger and more complicated and therefore engage longer to fully exploit.

    Fallback Planning

    Each original DBMS version or release should compass with a manual that outlines the original features of the release and describes the fallback procedures to return to a prior release of the DBMS. live sure to review the fallback procedures provided by the DBMS vendor in its release guide. You may exigency to return to a previous DBMS release if the upgrade contains a bug, performance problems ensue, or other problems arise during or immediately after migration. maintain in intellect that fallback is not always an option for every original DBMS release.

    If fallback is possible, supervene the DBMS vendor’s recommended procedures to enable it. You may exigency to retard the implementation of sure original features for fallback to remain an option. Understand fully the limitations imposed by the DBMS vendor on fallback, and exploit original features only when fallback is no longer an option for your organization.

    Migration Verification

    The DBA should implement procedures—similar to those for a original installation—to verify that the DBMS release upgrade is satisfactory. accomplish the selfsame steps as with a brand-new DBMS install, but likewise test a representative sampling of your in-house applications to verify that the DBMS upgrade is working correctly and performing satisfactorily.

    The DBMS Upgrade Strategy

    In general, design your DBMS release upgrade policy according to the guidelines discussed in the preceding sections. Each specific DBMS upgrade will live unique, but the strategies we’ve discussed will succor you to achieve success more readily. A well-thought-out DBMS upgrade strategy will prepare you to support original DBMS releases with minimum impact on your organization and in a style best suited to your company.



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